What is Big Data
Big Data refers to extremely large and complex datasets that traditional data processing tools cannot efficiently handle. It involves the collection, storage, processing, and analysis of vast amounts of structured, semi-structured, and unstructured data.
Key Characteristics of Big Data (The 5 Vs)
- Volume – Massive amounts of data generated every second.
- Velocity – High-speed data generation and processing.
- Variety – Different types of data (text, images, videos, sensor data, etc.).
- Veracity – Ensuring data accuracy and reliability.
- Value – Extracting meaningful insights to drive decision-making.
Sources of Big Data
- Social media (Facebook, Twitter, YouTube)
- Sensors & IoT devices
- Online transactions
- Healthcare records
- Scientific research
Applications of Big Data
- Business Analytics – Improving customer experience and marketing strategies.
- Healthcare – Disease prediction and personalized treatment.
- Finance – Fraud detection and risk management.
- Government – Smart city planning and policy-making.
- E-commerce – Personalized recommendations and demand forecasting.
Technologies Used in Big Data
- Hadoop – Open-source framework for large-scale data storage and processing.
- Apache Spark – Fast data processing engine.
- NoSQL Databases – MongoDB, Cassandra for handling diverse data.
- Machine Learning & AI – To analyze patterns and predictions.
Big Data helps organizations make data-driven decisions, enhance efficiency, and create new business opportunities.
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